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idea-discovery-robot

Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says "robotics idea discovery", "机器人找idea", "embodied AI idea", "机器人方向探索", "sim2real 选题", or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.

Quality

93%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A dense, well-sequenced orchestration skill: it assumes Claude's competence, provides copy-paste invocation strings and fill-in templates for every phase, and includes explicit checkpoints, feedback loops, and a hardware safety gate. The main costs are structural repetition of the robotics taxonomy and reliance on out-of-bundle shared references rather than a self-contained references/ directory.

Suggestions

Define the embodiment/task/observation/action taxonomy once (Phase 0) and have the Overview and Phase 1 matrix reference it instead of restating overlapping field lists, trimming roughly 30 lines of repetition.

Move the 'Good Robotics Idea Patterns', 'Weak Robotics Idea Patterns', and 'Filtering Rules' blocks (~50 lines) into a references/idea-filtering.md file, keeping a 3-bullet summary inline in Phase 2.

Vendor the shared protocols (reviewer backends, output versioning/manifest/language) into the skill's own references/ directory so the bundle is self-contained and the links are verifiable.

DimensionReasoningScore

Conciseness

The body is almost entirely imperative, template-driven content with no explanations of concepts Claude already knows (no 'what is RL/benchmark' padding). It stays at 4 rather than 5 because the embodiment/task/observation/action taxonomy recurs in three places (Overview bullets, the Phase 0 Robotics Problem Frame, and the Phase 1 Landscape Matrix), the pipeline diagram appears in both Overview and 'Composing with Later Work', and the 'Key Rules' section recapitulates constants and filtering rules already stated.

4 / 5

Actionability

Every phase gives copy-paste-ready invocation strings with fully specified arguments (e.g. '/research-lit "$ARGUMENTS — focus venues: CoRL, RSS, ICRA, IROS, RA-L, TRO, Science Robotics"'), plus fill-in templates for the problem frame, pilot design, and final report, and literal checkpoint message templates. Not 4: there are no gaps in executable guidance for the common execution paths.

5 / 5

Workflow Clarity

Phases 0-6 are strictly sequenced with an explicit Execution Rule, checkpoints after Phases 1 and 2 enumerate user-response handling (approve / request changes / no response + AUTO_PROCEED), a degenerate path is handled explicitly ('continue to Phase 4 even if you only produced a pilot plan'), and the one risky operation (real-robot execution) has an explicit confirmation gate. Feedback loops for re-running earlier phases on user request are present, matching the anchor-5 example.

5 / 5

Progressive Disclosure

Structure is good: heavy detail is delegated to sub-skills and shared protocols are behind clearly labeled one-level-deep links ('[Output Versioning Protocol](../shared-references/output-versioning.md)' etc.). It does not reach 5 because the skill ships no local bundle files (no references/, scripts/, or assets/), its protocol links point outside the skill directory to ../shared-references/ which cannot be verified from this bundle, and the ~50 lines of Good/Weak Idea Patterns and Filtering Rules inlined in Phase 2 could live in a reference file.

4 / 5

Total

18

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

An exemplary description: it states what the skill does in four concrete pipeline actions, gives an explicit 'Use when' clause with comprehensive natural trigger phrases in both English and Chinese, and occupies a distinctive niche with minimal overlap risk. Its only blemish is the jargon-y opening 'Workflow 1 adaptation for robotics and embodied AI', which adds no capability information.

DimensionReasoningScore

Specificity

'Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas' names four concrete pipeline actions plus a concrete output type. It is not 4 because the action coverage is comprehensive for what the skill does, exceeding the 'extracts text, fills forms, converts pages' anchor-4 pattern.

5 / 5

Completeness

Both halves are explicit: the 'what' is the four-stage pipeline ending in 'benchmark-grounded, simulation-first ideas', and the 'when' is an explicit 'Use when user says...' clause with concrete trigger phrases, exactly matching the anchor-5 example pattern. Not 4: the 'when' is as explicit and specific as the anchor requires.

5 / 5

Trigger Term Quality

Explicit natural trigger phrases 'robotics idea discovery', '机器人找idea', 'embodied AI idea', '机器人方向探索', 'sim2real 选题' plus domain keywords 'manipulation, locomotion, navigation, drones, humanoids, or general robot learning' give comprehensive coverage including bilingual synonyms. Not 4: no common phrasing a user would naturally use for this task is obviously missing.

5 / 5

Distinctiveness Conflict Risk

The description carves a clear niche (research idea discovery for robotics/embodied AI) with distinctive triggers including domain-specific terms like sim2real, humanoids, and drones; the 'wants ideas for...' qualifier prevents collision with skills that execute robot tasks. Conflict risk with sibling ideation or robotics-execution skills is minimal.

5 / 5

Total

20

/

20

Passed

Validation

81%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

relative_links

Relative link issues: 4 suspicious

Warning

Total

13

/

16

Passed

Repository

wanshuiyin/Auto-claude-code-research-in-sleep

Path

skills/idea-discovery-robot/SKILL.md

Reviewed

Table of Contents

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